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chart-embedded-export

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从结构化数据中提取分类分布执行清洗与统计，生成多维度交叉分析、高分辨率对比图表及包含下载链接的完整分析报告，适用于大文件处理与嵌入式可视化场景。

skills/sn-da-excel-workflow/capability/excel-result-export/chart-embedded-export/SKILL.md

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## Skill Steps

> This sub-skill covers one capability of the Excel workflow. For reading/counting/Parquet optimization, see the parent workflow SKILL.md.

Step1 执行数据清洗，处理合并单元格，使用正则表达式清理文本，并建立分类映射函数骨架。
```python
target_col = '分类字段'
value_col = '数值字段'

# 合并单元格处理 (向下填充还原)
df[target_col] = df[target_col].ffill()

# 数据清洗：正则去除特殊字符、去空、类型转换
df[target_col] = df[target_col].astype(str).str.replace(r'[^\w\s]', '', regex=True).str.strip()
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